Artificial neural networks outperform linear regression in estimating 9-month patient-reported outcomes after upper extremity fractures with increasing number of variables

Artificial neural networks outperform linear regression in estimating 9-month patient-reported outcomes after upper extremity fractures with increasing number of variables

Abstract. Objective:. To compare performance between linear regression (LR) and artificial neural network (ANN) models in estimating 9-month patient-reported outcomes (PROs) after upper extremity fractures using various subsets of early mental, social, and physical health variables. Methods:. We stu...

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Bibliographic Details
Main Authors: Niels Brinkman, BS, Romil Shah, MD, Job Doornberg, MD, PhD, David Ring, MD, PhD, Stephen Gwilym, DPhil, FRCS(Orth), Prakash Jayakumar, MD, PhD
Format: Article
Language:English
Published: Wolters Kluwer 2024-01-01
Series:OTA International
Online Access:http://journals.lww.com/10.1097/OI9.0000000000000284

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http://journals.lww.com/10.1097/OI9.0000000000000284

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